By Topic

Reconfigurable architecture of ultrasonic defect detection based on wavelet packet and back propagation artificial neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Liu Shoushan ; Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qinadao, China ; Chen Yan ; Bi Lijun ; Zhang Tongjun
more authors

The defects detection based on algorithms of discrete wavelet packet transform and back propagation artificial neural network is described firstly. Then the reconfigurable architecture of the defects detection in embedded reconfigurable system is discussed. Upon the reconfigurable architecture, the algorithms of discrete wavelet packet transform and back propagation neural net work are rearranged. The reconfigurable architectures of both algorithms are carried out eventually. According to the experiments of ultrasonic signal processing, the reconfigurable architecture of the defect detection can provides a flexible and efficient solution to embedded reconfigurable signal processing system.

Published in:

Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On  (Volume:3 )

Date of Conference:

12-13 June 2010